I have a data contains 12 variables "columns" and 1200 rows. In 4th variable "column", many missing values "NA", so I want to remove all the rows that have NA value in the 4th column.
Note: the 4th column is: age : num 22 38 26 35 35 NA 54 2 27 14 ...
Assuming you are working with a data frame, you can try simply subsetting off the rows you don't want using the is.na() function. Something like this:
df <- df[!is.na(df[,4]), ]
Related
What is the expression if I want to find the percentage of 50 of the total of
524?
Valid Consent
50
35
42
18
15
16
22
48
64
18
30
28
37
41
22
38
Assumeing that your data is in a table's field named CONSENT and using Dataset1, your table's detail expression could be
=Fields!CONSENT.Value / SUM(Fields!CONSENT.Value, "Dataset1")
This will take a single value from the CONSENT field in a table and divide it by the total of all CONSENT fields in Dataset1.
I have an existing excel template as like below :
DATE 7/28/2016 7/29/2016 July MTD YTD
Call Activity
IB_Calls_Offered 22 29 52 52 52
IB_Calls_Answered 22 29 52 52 52
Sale 6 3 9 9 9
Everyday when my SP get executed , I need to add a extra column (as Current Date) and fill the corresponding data.
Kindly Suggest me how to do it by using SSIS/SSRS
currently I am using pl/sql Developer(Oracle). I am told to convert a Row wise arranged data into columns but without the use of PIVOT. Since the Table I am working on dynamically changes, I am not able to use DECODE too.
POLICY SEQS INVDATE SUM(AMT)
-------- ------ ----------- ----------
policA 123 01-JAN-10 40
policA 123 01-FEB-10 50
policA 123 01-MAR-10 60
policA 456 01-JAN-10 360
policA 456 01-FEB-10 450
policA 456 01-MAR-10 540
policA 789 01-FEB-10 1000
polcA 789 01-MAR-10 1000
I have to re-arrange the dates and the sum of amounts column wise. So that the Single Policy and Single SEQS will have the dates and its amount column wise in a line.
"POLICY","SEQS","INST1","INST1SUM","INST2","INST2SUM","INST3","INST3SUM"
"policA","123","01-JAN-10","40","01-FEB-10","50","01-MAR-10","60"
"policA","456","01-JAN-10","360","01-FEB-10","450","01-MAR-10","540"
"policA","789","01-FEB-10","1000","01-MAR-10","1000"
Some Policy might not be starting from Jan, so the INST1 must be from feb, INST2 must be Mar and INST3 and corresponding INSTSUM must be NULL.
Is there any way that this can be done using CROSS JOINS or using xml function?
Can I use xmlagg with alternative data (INST and SUM)?
I have done some research and am not able to solve this out. Can you please help me with this?
I am new to oracle and I have a problem.
I have a column named file_id.
When I do an order by it sorts strings such as
1
1
10
100
11
11
110
114
12
300
31
4200
B14
B170
B18
edit:
I would like it to sort this way.
1
1
10
11
11
12
31
100
300
4200
B14
B18
B170
The answer below works perfectly. Only other problem I ran into now..I have records that are blank. How could I make the blank records order at the end?
1
1
10
11
11
12
31
100
300
4200
BLANK
BLANK
BLANK
BLANK
BLANK
B14
B18
B170
Thank you for your help.
select column
from table
order by
regexp_substr(column, '^\D*') nulls first,
to_number(regexp_substr(column, '\d+'))
fiddle
This is an old question, but it was the first hit on google so I thought I'd share an alternative solution:
select column
from table
order by
LPAD(column, 10)
The LPAD function pads the left-side of the string with spaces so that the results will be sorted numerically. This works for non-numeric values, and null values will be sorted last. This works well if you know the maximum length of the strings to be sorted (you may need to adjust the second parameter to suit your needs).
Source: http://www.techonthenet.com/oracle/questions/sort1.php
EDIT:
I noticed that while my solution works well for my case, the output is slightly different from the accepted answer (http://www.sqlfiddle.com/#!4/d935b8/2/0):
1
1
10
11
11
12
31
100
110
114
300
A14
A18
4200
A170
(null)
(null)
4200 should come after 300. For my situation this is good enough, but this may not always be the case.
Based on the previous solution:
SELECT column
FROM table
ORDER BY LPAD(column, (SELECT MAX(LENGTH(column)) FROM table)) ASC
The advantage of this approach is that you don't need know the table column size.
I have a list of timebased values in the following form:
20/Dec/2011:10:16:29 9
20/Dec/2011:10:16:30 13
20/Dec/2011:10:16:31 13
20/Dec/2011:10:16:32 9
20/Dec/2011:10:16:33 13
20/Dec/2011:10:16:34 14
20/Dec/2011:10:16:35 6
20/Dec/2011:10:16:36 7
20/Dec/2011:10:16:37 16
20/Dec/2011:10:16:38 5
20/Dec/2011:10:16:39 7
20/Dec/2011:10:16:40 15
20/Dec/2011:10:16:41 12
20/Dec/2011:10:16:42 13
20/Dec/2011:10:16:43 11
20/Dec/2011:10:16:44 6
20/Dec/2011:10:16:45 7
20/Dec/2011:10:16:46 9
20/Dec/2011:10:16:47 14
20/Dec/2011:10:16:49 6
20/Dec/2011:10:16:50 11
20/Dec/2011:10:16:51 15
20/Dec/2011:10:16:52 10
20/Dec/2011:10:16:53 16
20/Dec/2011:10:16:54 12
20/Dec/2011:10:16:55 8
The second column contains value against each second. Values are there for complete month and for each and every second. I want to add these values:
Per minute basis. [for 00 - 59 seconds ]
Per hour basis [ for 00 - 59 minutes ]
Per Day basis. [ for 0 - 24 hours ]
Sounds like a job for Excel and a pivot table.
The trick is to parse the text date/time you have into something Excel can work with; splitting it on the colon will do just that. Assuming the value you have is in cell A2, this formula will convert the text into a real date:
=DATEVALUE(LEFT(A2,SEARCH(":",A2)-1))+TIMEVALUE(RIGHT(A2,LEN(A2)-SEARCH(":",A2)))
Then just create Minute, Hour and Day columns where you subtract out that portion of the date. For example, if the date from the above formula is in C2, the following will subtract out the seconds and give you just up to the minute:
=C2-SECOND(C2)/24/60/60
Then repeat the process for the next two columns to give you the hour and the day:
=D2-MINUTE(D2)/24/60
=E2-HOUR(E2)/24
Then all you have to do is create a pivot table on the data with rows Day, Hour, Minute and value Sum(Value).